Literature DB >> 24081862

Definitions of progression in chronic kidney disease--predictors and relationship to renal replacement therapy in a population cohort with a 6 year follow-up.

Angharad Marks1, Nicholas Fluck, Gordon J Prescott, Lynn M Robertson, William G Simpson, William Cairns S Smith, Corri Black.   

Abstract

BACKGROUND: Chronic kidney disease (CKD) is common, important and associated with increased healthcare needs due to CKD progression. Definitions of renal disease progression are multiple, and not always comparable. A measure of 'progression' directly comparable with renal replacement therapy (RRT) initiation would identify 'progressors' in research and for healthcare planning.
METHODS: The Grampian Laboratory Outcomes Morbidity and Mortality Study (GLOMMS-I) is a community cohort with CKD from 2003, followed up to June 2009 for (i) RRT initiation and (ii) 'progression': sustained reduction in estimated glomerular filtration rate (eGFR) by 15 mL/min/1.73 m2 (equivalent to CKD stage change), or to <10 mL/min/1.73 m2, whichever occurs first. Predictors were baseline demographics and comorbidity. The use of the Kidney Disease: Improving Global Outcomes-2012 progression definition was also explored.
RESULTS: Two thousand two hundred and eighty-nine and 1044 had Stage 3 and 4 CKD, 44% were males. Overall, RRT initiation and progression rates were 0.97 and 3.50 per 100 patient-years (py). Females had significantly lower progression and RRT initiation rates. The progression rate was not dependent on CKD stage [incidence rate ratio (IRR) for Stage 4 (versus Stage 3) 0.9 (95% CI 0.8-1.2)], whereas the RRT initiation rate was [IRR 5.6 (95% CI 3.8-8.2)]. Increased proteinuria was associated with both greater RRT initiation and progression rates.
CONCLUSIONS: Progression and RRT initiation rate ratios allow comparison of predictors of these outcomes. Higher rates of both in males suggest that greater RRT initiation rate is biological rather than due to preferential treatment. Similar progression but very different RRT initiation rates in Stage 3 and 4 CKD suggests that CKD stage effect on RRT initiation is a function of endpoint proximity rather than faster renal function deterioration.

Entities:  

Keywords:  chronic kidney disease; cohort; progression; renal replacement therapy

Mesh:

Year:  2013        PMID: 24081862     DOI: 10.1093/ndt/gft393

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  10 in total

1.  Developing and validating a prognostic prediction model for patients with chronic kidney disease stages 3-5 based on disease conditions and intervention methods: a retrospective cohort study in China.

Authors:  Min Zhang; Nuo Lei; Xian-Long Zhang; Yanmin Xu; Hui-Fen Chen; Li-Zhe Fu; Fang Tang; Xusheng Liu; Yifan Wu
Journal:  BMJ Open       Date:  2022-05-30       Impact factor: 3.006

2.  Ethnic differences in the progression of chronic kidney disease and risk of death in a UK diabetic population: an observational cohort study.

Authors:  Rohini Mathur; Gavin Dreyer; Magdi M Yaqoob; Sally A Hull
Journal:  BMJ Open       Date:  2018-03-27       Impact factor: 2.692

3.  Hip fracture incidence and mortality in chronic kidney disease: the GLOMMS-II record linkage cohort study.

Authors:  Lynn Robertson; Corrinda Black; Nick Fluck; Sharon Gordon; Rosemary Hollick; Huong Nguyen; Gordon Prescott; Angharad Marks
Journal:  BMJ Open       Date:  2018-04-12       Impact factor: 2.692

4.  Contemporary rates and predictors of fast progression of chronic kidney disease in adults with and without diabetes mellitus.

Authors:  Alan S Go; Jingrong Yang; Thida C Tan; Claudia S Cabrera; Bergur V Stefansson; Peter J Greasley; Juan D Ordonez
Journal:  BMC Nephrol       Date:  2018-06-22       Impact factor: 2.388

5.  Urinary epidermal growth factor as a prognostic marker for the progression of Alport syndrome in children.

Authors:  Baihong Li; Yanqin Zhang; Fang Wang; Viji Nair; Fangrui Ding; Huijie Xiao; Yong Yao; Matthias Kretzler; Wenjun Ju; Jie Ding
Journal:  Pediatr Nephrol       Date:  2018-06-11       Impact factor: 3.714

6.  Nephrology and Public Policy Committee propositions to stimulate research collaboration in adults and children in Europe.

Authors:  Ziad A Massy; Fergus J Caskey; Patrik Finne; Jerome Harambat; Kitty J Jager; Evi Nagler; Benedicte Stengel; Mehmet Sukru Sever; Raymond Vanholder; Peter J Blankestijn; Annette Bruchfeld; Giovambattista Capasso; Danilo Fliser; Denis Fouque; Dimitrios Goumenos; Maria Jose Soler; Ivan Rychlík; Goce Spasovski; Kathryn Stevens; Christoph Wanner; Carmine Zoccali
Journal:  Nephrol Dial Transplant       Date:  2019-09-01       Impact factor: 5.992

7.  Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease.

Authors:  Aaron Chuah; Giles Walters; Daniel Christiadi; Krishna Karpe; Alice Kennard; Richard Singer; Girish Talaulikar; Wenbo Ge; Hanna Suominen; T Daniel Andrews; Simon Jiang
Journal:  Front Med (Lausanne)       Date:  2022-03-16

8.  An easy-to-operate web-based calculator for predicting the progression of chronic kidney disease.

Authors:  Qian Xu; Yunyun Wang; Yiqun Fang; Shanshan Feng; Cuiyun Chen; Yanxia Jiang
Journal:  J Transl Med       Date:  2021-07-03       Impact factor: 5.531

9.  Improving CKD Patient Knowledge and Patient-Physician Communication: A Pilot Study of a CKD Report Card.

Authors:  Jasmine Tzeggai; Keyira Jones; Tipu Puri; Milda Saunders
Journal:  Kidney Med       Date:  2020-04-18

10.  A risk scoring model to predict renal progression associated with postcontrast acute kidney injury in chronic kidney disease patients.

Authors:  Seung Don Baek; So Mi Kim; Jae-Young Kang; Minkyu Han; Eun Kyoung Lee; Jai Won Chang
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

  10 in total

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